draft(worker): add fail-closed Qwen H200 client scaffolding - #59
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thegeorgepu wants to merge 9 commits into
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draft(worker): add fail-closed Qwen H200 client scaffolding#59thegeorgepu wants to merge 9 commits into
thegeorgepu wants to merge 9 commits into
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Summary
qwen-h200lane pinned toQwen/Qwen3.8-27B.vinci-qwen-provider.tsthrowsqwen_dispatcher_unavailablebefore readiness, provider registration, or provider transport.Current readiness status
This is not a successful Qwen inference implementation and is not an activation candidate.
Required upstream dependency
A separately deployed, separate-UID VGC dispatcher contract remains required. It must be the sole Qwen credential consumer, mint authenticated point-of-use reservations, preserve endpoint-global occupancy, and produce authoritative invocation reconciliation. Its route schemas, identity binding, IPC/peer-credential trust, expiry/reaping, failure semantics, and ownership must be ratified and independently reviewed in
vinci-gpu-control.Removing
qwen_dispatcher_unavailablerequires a separate reviewed change after that dependency exists. Removing the hard stop alone is forbidden and insufficient. VGC admission, qualification, burn-in, deployment, and activation remain independent gates; this draft does not satisfy or bypass them.Runtime-launch and ownership boundary
This PR does change Worker/client launch plumbing in
vinci/worker/run.mjsandvinci/bin/vinci: it selects the Qwen extension from the validated envelope, passes the pinned model, binds exact Worker identities, and supplies a file-backed secret through descriptor 3 without exposing the secret path to the child environment or argv.The descriptor-3 direct Worker credential path is dormant scaffolding and does not satisfy the final separate-UID credential-owner design. Activation must replace or remove direct Worker credential consumption, or obtain a separately ratified design that explicitly authorizes it; the dispatcher stop cannot be removed merely because this plumbing exists.
Those changes do not download weights, start or configure the inference server, place GPUs, deploy an endpoint, or operate live model infrastructure. Ayush retains ownership of model weights, server runtime and flags, GPU placement, endpoint operation, and the live served revision/runtime tuple.
Safety boundary
no_commitoutcome. These gaps are not presented as readiness.Verification
npm run checknode vinci/test/worker-qwen-provider.mjsnode vinci/test/worker-lease-loop.mjsnode vinci/test/worker-qwen-refusal-composition.mjsgit diff --checkPublication identities:
4c22def339c77fdd1be5843f3229cac793506d78490eee9ee34bdf58534abf19cdff8a9dc7e80867571914267febcac855c4afcc2178fef05ce8a83fLocal reviewed candidate when this draft was prepared:
490eee9ee34bdf58534abf19cdff8a9dc7e80867571914267febcac855c4afcc2178fef05ce8a83f